Химическая свадьба Розенкрейцера

​​Graph & Geometric ML in 2024: Where We Are and What’s Next 📣 Two new blog posts - a comprehensive review of Graph and Geometric ML in 2023 with predictions for 2024. Together with Michael Bronstein, we asked 30 academic and industrial experts about the most important things happened in their areas and open challenges to be solved. 1️⃣ Part I: https://towardsdatascience.com/graph-geometric-ml-in-2024-where-we-are-and-whats-next-part-i-theory-architectures-3af5d38376e1 2️⃣ Part II: https:/...

Навальный был крутым и сильным, и люди которые его поддерживают - крутые и сильные.

[Verse] In a world of circuits and screens We push the boundaries of what's real Computational chemistry, the ultimate dream Bringing science to a whole new deal (woah-oh-oh) [Verse 2] Robots in lab coats, precision at hand AI algorithms, guiding our command Data mining, simulations so grand Unlocking mysteries, we'll understand (yeah-yeah) [Chorus] Welcome to the future, where molecules collide In virtual realms, where discoveries reside No beakers, no test tubes, just code and design In the re...

#PhD Dear colleagues, The newly formed Semiconductors and Microelectronic systems (SAM) group at TU Berlin has 2 open PhD positions in Neuromorphic Computing and Hardware for Artificial Intelligence (AI). We’re seeking passionate, self-motivated, and creative researchers eager to design and develop novel materials and devices for bio-inspired sensing and computing. Inspired by the biological brain, our group will work on nanoelectronic materials and devices that host an innovative hardware-based...

https://github.com/lamalab-org/MatText

ONLINE BOOK —- https://github.com/weisscharlesj/SciCompforChemists?tab=readme-ov-file

babe wake up leetcode for ML just dropped https://www.deep-ml.com/ (жду когда добавят побольше задачек 😎)

Ученые на месте? Нашел интересный проект с ИИшкой для науки https://www.air4.science/ https://github.com/divelab/AIRS Внутри подразделы с реализациями работ по следующим направлениям - OpenQM: AI for Quantum Mechanics - OpenDFT: AI for Density Functional Theory - OpenMol: AI for Small Molecules - OpenProt: AI for Protein Science - OpenMat: AI for Materials Science - OpenMI: AI for Molecular Interactions - OpenPDE: AI for Partial Differential Equations Интересующимся рекомендую посмотреть, мб что...

Более 50% ученых покидает науку в течение 10 лет после начала карьеры, из них более 1/3 в течение первых 5 лет после публикации статьи первым автором, причем для женщин эти показатели выше, чем для мужчин. Nature: https://www.nature.com/articles/d41586-024-03222-7 #карьера